plot VS cheatsheets

The examples from the first chapter of the Introduction to the Practice of Statistics, In Lisp-Stat, are complete and on github. This chapter is mostly about data visualisation, and anyone who uses PLOT might find the additional examples useful.

But, that's part of the reason for PLOT -- to hide that ugliness and make it easier to work with from Common Lisp. Have you found something specific that PLOT won't let you do? If so, open an issue and I'll take a look.

If you want to learn Lisp using a real-world problem, consider enhancing the stem-and-leaf plots. This is a good way to learn Common Lisp basics. It uses looping, printing and other basic programming constructs with text output. Specifically we need split stems and back-to-back stem plots.

If you're an R user, stringr + its cheatsheet gets you very close to remembering what to do without needing to look further!

For more information on how to use ggplot2 and create charts consult the ggplot2 official page or the ggplot2 cheat graphic.

I'd suggest you have a look at cheatsheets (or download them from GitHub) if you want to get to know your way around a package or set if functions, it saves you a lot of time.

You could use geom_hline and geom_vline, geom_abline, or geom_segment for this. (The ggplot cheat sheet is very useful for answering these kinds of questions, BTW.)

I can't say for sure because I don't know what your ultimate aim is for your visualization. Check out the cheat sheet for ggplot2 here.

Finally just do your analysis. You should also should give a try and see the cheat sheet for data importing on the tidyverse package.

That said, when I’m trying to come up with an interesting way to visualize data, I find the ggplot cheat sheet very helpful: https://github.com/rstudio/cheatsheets/raw/main/data-visualization-2.1.pdf

Here's a cheat sheet: https://github.com/rstudio/cheatsheets/blob/main/strings.pdf

The cheat sheet of the stringr package should give you good overview of string manipulation/ regex in R.

I would very highly recommend that rather than trying to get started by translating an existing graph, you check out some documentation about ggplot first. If nothing else, the ggplot cheat sheet from RStudio should help explain what the component parts of the code are, and that might help you figure out what you actually want to do.